53 citations · 53 across the 2 of their papers we have counts for
2 papers
cs.NI2025
Dynamic Adaptive Federated Learning for mmWave Sector Selection
Lucas Pacheco, Torsten Braun, Kaushik Chowdhury +3
Beamforming techniques use massive antenna arrays to formulate narrow Line-of-Sight signal sectors to address the increased signal attenuation in millimeter Wave (mmWave). However,…
cs.LG2024★ 53 cited
Adaptive Client Selection with Personalization for Communication Efficient Federated Learning
Allan M. de Souza, Filipe Maciel, Joahannes B. D. da Costa +4
Federated Learning (FL) is a distributed approach to collaboratively training machine learning models. FL requires a high level of communication between the devices and a central s…